A New Lumping Scheme of Analytical Data for Compositional Studies

Abstract

This paper presents a new algorithm to lump fluid compounds into hypothetical components. It has been designed to bridge the gap between the increasing amount of analytical data provided by modern lab equipments and the simplified fluid description required in compositional model studies. The main feature of the method is a lumping scheme based on the similarities of a few proper- ties of all the compounds identified by chromato- graphic analysis. An iterative clustering algo- rithm around mobile centers yields a classifica- tion into pseudo-components optimum with respect to the considered equation of state. It can be adapted to any equation of state, any number of compounds or properties. An other noticeable feature of this proce- dure is the definition of a mixed calculation of critical properties. A criterion to choose between an accurate calculation of true critical proper- ties and the classical mixing rules is suggested. Numerical simulations of PVT behavior were completed for an oil and a gas condensate defined by 150 compounds. The clustering algorithm deter- mined simplified fluids lumped into 7 and 5 components. True critical properties calculation for the hypothetical components and classical mixing rules were tested and the mixed calculation proved to be the best.

Reservoir fluid applications of a pseudo-component delumping new analytical procedure

“…Keeping N 2 , CO 2 , C 1 , C 2 , and C 3 as individual components, the following lumping scheme was obtained using the dynamic clustering method of Montel and Gouel (1984) Leibovici's (1993) method (see Table 4). …”

A new approach for quality control of reservoir fluid composition data using live oil solubility parameter

“…11 (12) where P: absolute pressure (Pa) 3. The mixing rules should not employ more than a single binary interaction parameter, which should be independent of pressure, temperature, and composition.…”

Universal Fluid Characterization Using an EOS Based on Perturbation from n-Alkanes

“…One of the main reasons for the lack of theory is likely the unknown, implicit, non-linear relationship between phase behavior predictions and adjustment parameters such as T C , P C , V C , ω, volume-shift parameters, and BIPs. Different characterization methods have been proposed for different reservoir fluids (Whitson 1984;Stamataki and Magoulas 2001;Montel and Gouel 1984;Leibovici 1993;Lomeland and Harstad 1995); for example, gas condensates (Yarborough 1979;Lawal et al 1985;Pedersen et al 1988;Guo and Du 1989), volatile oils (Peneloux et al 1979;Whitson and Torp 1983), near-critical fluids (Zuo and Zhang 2000;Al-Meshari and McCain 2006;Hosein and Dawe 2011;Hosein et al 2013), and heavy oils (Krejbjerg and Pedersen 2006;Ghasemi et al 2011). However, P-T-x space that phase behavior spans is continuous.…”